Securely integrate Fullstory with Microsoft Azure SQL Database
Fullstory helps companies record and analyze their customer communications by recording user sessions, providing detailed step-by-step logs of everything customers did during their sessions and storing that information for later retrieval and analysis. Fullstory can then be searched for specific events, including link usage, rage clicks or dead clicks. In addition to data on individual sessions, Fullstory can also retrieve analytics on aggregate customer behavior, showing the most clicked items, the most rage clicked areas, the most navigated to sites, etc.
About Microsoft Azure SQL Database
Microsoft Azure is a public cloud computing service designed for building, testing, launching, and managing applications and services via Microsoft-managed data centers. Through its platform-as-a-service (PaaS), software-as-a-service (SaaS), and infrastructure-as-a-service (Iaas) offerings, Microsoft Azure integrates with a wide range of programming languages and tools. In addition to working with Microsoft’s proprietary software and systems, Azure is compatible with third-party solutions, including Linux. As an extremely popular cloud services platform, many businesses and enterprises have used Microsoft Azure to migrate their computer systems to the cloud and eliminate the costs and staff requirements needed to maintain physical onsite servers.
Popular Use Cases
Bring all your Fullstory data to Amazon Redshift
Load your Fullstory data to Google BigQuery
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Move your Fullstory data to MySQL
Integrate Fullstory With Microsoft Azure SQL Database Today
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Fullstory's End Points
Provide a user ID and/or email address to get a list of every session associated with a specific user up to the defined limit. Entries in that list include the user ID and email address, the time the session occurred, and the Fullstory session URL, all of which can be used to access the data from that session if desired.
Retrieve a list of 20 available data bundles from a specific timestamp onward. Then, export the most valuable data bundles from that list so that they can be integrated with other relevant data sources to give you a deeper overall view of your customer’s experience.
Microsoft Azure SQL Database's End Points
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